summary.scdf

A collection of procedures for analysing, visualising,
and managing single-case data. These include piecewise linear regression
models, multilevel models, overlap indices ('PND', 'PEM', 'PAND', 'PET', 'tau-u',
'baseline corrected tau', 'CDC'), and randomization tests. Data preparation functions
support outlier detection, handling missing values, scaling, and custom transformations.
An export function helps to generate
html, word, and latex tables in a publication friendly style. More details can be
found in the online book 'Analyzing single-case data with R and scan', Juergen Wilbert (2025)
<https://jazznbass.github.io/scan-Book/>.

Juergen Wilbert

scan

Single-Case Data Analyses for Single and Multiple Baseline
Designs

Timo Lueke

summary.scdf function

<dl><dt>object</dt>
<dd>scdf</dd>
<dt>all_cases</dt>
<dd>IF TRUE, more that 10 cases are summarized</dd>
<dt>...</dt>
<dd>not in use</dd></dl>

Arguments

Summary function for an scdf — summary.scdf

<dl>

<dt>object</dt>
<dd>scdf</dd>


<dt>all_cases</dt>
<dd>IF TRUE, more that 10 cases are summarized</dd>


<dt>...</dt>
<dd>not in use</dd>

</dl>

summary.scdf: Summary function for an scdf

Description

Usage

Arguments